2023
DOI: 10.11591/ijeecs.v31.i2.pp1070-1079
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Blind nonlinear unmixing using nonnegative matrix factorization based bi-objective autoencoder

Sreejam Muraleedhara Bhakthan,
Agilandeeswari Loganathan,
Aashish Bansal

Abstract: Hyperspectral image processing is one of the trending techniques used in many fields such as remote sensing, medical, agriculture, food processing, and military. The unique discrimination of hyperspectral images can be used for object identification, classification, and prediction. One of the main challenges of these tasks is the mixed pixel problem. Hyperspectral unmixing is the process of identifying the endmembers and their abundance in pixels. In linear unmixing, the mixture of the endmembers is assumed to… Show more

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